Backend & APIs
Node.js
Our go-to runtime for real-time APIs, webhook routing and integrating agent outputs into customer-facing apps.
Why Node.js sits next to our Python agents
Python is brilliant for agents and data work. Node.js is brilliant for the customer-facing side — real-time APIs, webhook plumbing, TypeScript across the full stack, and a deployment story that scales horizontally without drama.
Where we use Node.js
- Product APIs that serve agent outputs to web and mobile apps.
- Webhook routing between agents and SaaS tools (Slack, Linear, CRMs).
- Next.js frontends and backends — one language, one deployment pipeline, fewer moving parts.
- Edge functions where sub-100ms response matters.
The standards we insist on
Every Node.js service we ship comes with TypeScript, strict mode, zod-validated inputs on every public surface, structured logging, and test coverage on the paths that matter. The "it works on Monday" stack.
How Node.js connects to agent pipelines
The typical pattern: Python agent writes to a queue or a database. Node.js service serves requests that read the agent's output, often with a cache in front. When an end user needs sub-second response, we pre-compute with the agent and serve with Node.js.
Talk to us if you want to see how the two sides fit together for your workflow.
Lectură suplimentară
Frontier LLMs
Anthropic
Claude as the default model for high-reasoning, long-context agent workflows — especially where safety and steerability matter.
Multi-agent orchestration
CrewAI
When a single prompt is not enough, CrewAI lets us build teams of specialised agents that plan, act and review.
Version control & CI
GitHub
Every line we write lives in your GitHub. Transparent delivery, PR reviews, and continuous integration on day one.
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